Job Description
GM is seeking an AI & Data Governance Counsel to join the team and help build, operationalize, and scale the company’s AI governance program as enterprise AI adoption accelerates across products, services, internal tools, and business workflows. This lawyer will work across product-facing, governance-facing, and policy-adjacent matters, with a primary focus on high-risk and high-visibility AI initiatives, the AI impact assessment workflow, AI inventory, governance controls and mitigations, transparency artifacts, and cross-functional enablement. The role is designed for a lawyer who can combine strong legal judgment with practical execution, operate effectively across multidisciplinary teams, and help GM lead rather than follow in AI governance as we deploy AI assets across all facets of the business and the vehicles.
Key responsibilities
Provide legal counsel on GM’s highest-risk and highest-visibility AI use cases, products, and governance escalations to ensure safe-by-design development and alignment with internal safety standards.
Partner closely with Security, DevEx, Data Governance, Enablement, product teams, and other cross-functional stakeholders to define internal AI safety standards and scale and operationalize AI guardrails, controls, and mitigation frameworks.
Help scale and refine GM’s AI impact assessment process, including policy as code, issue spotting, risk triage, mitigation mapping, and governance decision-making for higher-risk AI uses.
Review and negotiate strategic contracts for AI solutions and AI add-ons, including evaluating other companies’ AI governance maturity.
Develop external-facing AI usage policies, post-deployment monitoring standards, enforcement mechanisms, supporting materials, and data-logging practices to improve quality metrics and strengthen external defensibility.
Support the buildout and maintenance of GM’s AI inventory and related governance documentation, including links to assessments, ownership, and risk categorization.
Advise on AI transparency and documentation artifacts, including explainability frameworks, AI system cards for consumer-facing AI products, and safety-aligned AI artifacts where appropriate.
Translate emerging legal, regulatory, and standards developments into practical internal guidance, workflows, and product-facing requirements.
Drive alignment on AI safety strategy and risk posture as it relates to AI deployed in physical spaces and machines.
Help develop and socialize repeatable AI governance practices, training materials, and legal guidance that scale expertise across legal, product, and business teams.
Support governance forums and cross-functional operating structures, including the AI Council, AI governance working groups, and the AI Virtual Team.
Contribute to external AI governance engagement with peer companies, standards bodies, and industry groups to help GM stay ahead of evolving norms and expectations.
Required qualifications
J.D. and active bar membership in good standing.
8+ years of experience counseling on AI/ML, robotics, technology, digital products, data use, privacy, cybersecurity, or related regulatory matters.
AI fluency, including complex prompting, agent development, and vibe-coding, including knowledge of AI fitness for purpose and its limitations.
Demonstrated familiarity with global AI legal and standards frameworks and the ability to apply them in practical business and product contexts.
Proven track record of building 0-1 systems and scaling governance programs, workflows, or controls rather than only advising on them.
Strong judgment in ambiguous, fast-moving, cross-functional environments.
Experience working across multidisciplinary teams to implement governance, compliance, or risk-management practices in real operating processes.
Ability to communicate clearly with legal, technical, product, compliance, and business stakeholders.
Ability to move fluidly between strategic governance questions and hands-on execution work.
Experience drafting, interpreting, and negotiating contracts and templates for deals involving AI solutions and add-ons.
Preferred qualifications
Experience driving AI governance, responsible AI, algorithmic accountability, model risk, AI evaluations, and red-teaming.
Experience building solutions with the help of AI.
Familiarity with enterprise AI products, transparency artifacts, product documentation, or safety-aligned governance frameworks.
Experience engaging with external industry groups, benchmarking forums, or standards-development efforts related to AI, privacy, or digital governance.
Ability to identify skills gaps, create practical guidance, and help mature internal governance capabilities across business functions.
Location: This role is based remotely but if you live within a 50-mile radius of (Atlanta, Austin, Detroit, Warren, Milford or Mountain View), you are expected to report to that location three times a week, at minimum.
Relocation: This role is NOT eligible for relocation benefits
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)




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